3dMD’s natural software evolution to more sophisticated dynamic-4D image analysis, landmark detection, and feature tracking capabilities.
For 20-plus years, 3dMD has enabled its worldwide customer community to successfully Train AI, Wear Tech, and Image Health. With a proven clinical background, 3dMD offers industrial-strength temporal-3D (4D-motion) dense-surface camera systems for human subject applications demanding ‘near ground truth’ 3D shape accuracy including healthcare, Computer Vision, Artificial Intelligence, Machine Learning, humanoid robotics, wearable-tech, human factors, ergonomics, anthropometrics, AR/VR/XR, etc. With a highly efficient subject workflow suitable for recruiting thousands of subjects, 3dMD supports high-volume head, face, full body, hand, and foot performance capture exercises for many customer innovations from clinical findings and ‘real world’ AI/ML training to groundbreaking design of wearable tech, performance apparel, and efficient ergonomics. 3dMD’s robust technology has sustained the findings in hundreds of peer-reviewed investigative research publications – many of which are found here on our website.
From Healthcare to Artificial Intelligence, here are a few 3dMD Applications…
Healthcare. Where we began.
Computer Vision/ Perception. Training the Metaverse.
Artificial Intelligence/ Machine Learning. Training the Metaverse.
AR|VR|XR. Populating the Metaverse.
Wearable Technology. Wearing the Metaverse.
Human Factors/ Anthropometrics/ Size and Fit
Humanoid Robotics
Genetics | Biomarkers
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Blog / News
As the first step in customizing the prototype, a set of 21 facial anthropometric landmarks and 15 dimensions was selected for the design. The faces of three members of the research team were scanned using a 3dMD digital scanning system. From these scans, algorithms were developed to create digital representations of the contours of the RPD frame.
We present a fully automated pipeline to identify craniofacial landmarks in real time, and we use it to assess the head shape of patients with craniosynostosis using 3D photogrammetry.